蒙牛乳业（宁夏）有限公司核心管理团队已审议通过覆盖工厂全运营周期的碳达峰行动路线图与年度减排目标，有效运行覆盖全厂水、电、气多层级能源介质的碳排放智慧管理体系，在主要品牌展厅及参观通道设置了双碳科普与绿色制造体验展示空间，持续实施绿色能源替代（屋面光伏发电、沼气锅炉供热）、节能降碳技术改造（模块化制冷、磁悬浮装箱、AI能效优化）、厂区立体化空间布局优化，以数智化驱动绿色化生产运营，于2026年获评国家级绿色工厂，并作为全球乳业首家液态奶“灯塔工厂”向世界展示中国乳业的绿色智能制造实践。

机构简介

蒙牛乳业（宁夏）有限公司核心管理团队已审议通过覆盖工厂全运营周期的碳达峰行动路线图与年度减排目标，有效运行覆盖全厂水、电、气多层级能源介质的碳排放智慧管理体系，在主要品牌展厅及参观通道设置了双碳科普与绿色制造体验展示空间，持续实施绿色能源替代（屋面光伏发电、沼气锅炉供热）、节能降碳技术改造（模块化制冷、磁悬浮装箱、AI能效优化）、厂区立体化空间布局优化，以数智化驱动绿色化生产运营，于2026年获评国家级绿色工厂，并作为全球乳业首家液态奶“灯塔工厂”向世界展示中国乳业的绿色智能制造实践。

机构LOGO

Company/Organization Profile

The core management team of Mengniu Dairy (Ningxia) Company Limited has reviewed and approved the carbon peaking action roadmap and annual emission reduction targets covering the factory's full operation cycle. It effectively operates a smart carbon emission management system that covers multi‑level energy media including water, electricity and gas across the entire plant. The company has set up dual‑carbon science popularization and green manufacturing experience display spaces in the main brand exhibition halls and visitor passages. It continuously implements green energy substitution (rooftop photovoltaic power generation, biogas boiler heating), energy‑saving and carbon‑reducing technological transformations (modular refrigeration, magnetic levitation cartoning, AI energy efficiency optimization), and three‑dimensional spatial layout optimization of the factory premises. Driven by digital intelligence, it pursues green production operations. In 2026, it was recognized as a national‑level green factory, and as the world's first liquid milk "Lighthouse Factory," it showcases Chinese dairy's green intelligent manufacturing practices to the world.（AI翻译）

项目背景

问题现状：传统乳制品工厂普遍存在能耗管理粗放、碳排放强度高、空间利用率低等问题。具体表现为：能源数据依赖人工抄表，缺乏实时监测，设备空转与低效运行现象突出；各设备系统独立运行，缺乏协同优化，能源输送路径长、损耗大；水、热等资源未建立循环利用体系，造成大量浪费。 原因分析：一是能源管理体系信息化程度低，无法实现能耗数据的实时采集、分析与动态调控；二是工厂布局分散、设备系统相互孤立，缺乏从全局视角进行的能效协同优化；三是规划阶段未融入循环经济理念，低品位能源未实现梯级利用。 改进目标：以数智化驱动绿色化转型，打造全球乳业绿色智能标杆工厂。一是构建覆盖全厂的智慧能源管理系统，实现能耗数据分钟级实时采集与AI智能优化调控；二是通过立体化空间布局缩短能源输送距离，提升空间利用率和设备协同效率；三是建立水、热、气多维度资源循环利用体系，最大限度降低单位产品资源消耗与碳排放强度。

Project Overview

Problem Status: Traditional dairy factories generally suffer from crude energy management, high carbon emission intensity, and low space utilization. Specific manifestations include: energy data relying on manual meter reading without real‑time monitoring, resulting in prominent equipment idling and inefficient operation; various equipment systems operating independently without collaborative optimization, leading to long energy transmission paths and substantial losses; and the absence of a circular utilization system for water, heat, and other resources, causing considerable waste. Root Cause Analysis: First, the low level of informatization in the energy management system prevents real‑time collection, analysis, and dynamic control of energy consumption data. Second, the scattered factory layout and isolated equipment systems lack a holistic perspective for collaborative energy efficiency optimization. Third, the circular economy concept was not integrated during the planning stage, and low‑grade energy has not been cascaded effectively. Improvement Goals: Drive green transformation through digital intelligence to build a global benchmark green intelligent dairy factory. First, establish a factory‑wide smart energy management system enabling minute‑level real‑time data collection and AI‑driven intelligent optimization and control. Second, shorten energy transmission distances through three‑dimensional spatial layout while improving space utilization and equipment coordination efficiency. Third, build a multi‑dimensional resource recycling system covering water, heat, and gas to minimize per‑unit product resource consumption and carbon emission intensity to the greatest extent.（AI翻译）

项目实施

标题：

Project Implementation

(1) Smart Energy Management System Construction – Addressing Energy Monitoring and Optimization Issues To address the problems of lagging energy data and significant equipment idling losses in traditional factories, the factory has established a factory-wide multi-level smart energy management platform, integrating over 8,600 data points. The system connects more than 1,200 smart metering points, covering primary, secondary, and tertiary metering for three types of energy media—water, electricity, and gas—with a data collection success rate exceeding 99.8%. The platform incorporates a carbon emission accounting model that automatically calculates Scope 1 and Scope 2 carbon emission totals and intensity based on real-time energy data. The system applies AI energy efficiency optimization algorithms to automatically identify high-energy-consumption areas based on equipment efficiency curves, determine optimal operating parameters, and reasonably schedule equipment start and stop times to avoid idling waste. (2) Three-Dimensional Spatial Layout Optimization – Addressing Space Utilization and Energy Consumption Issues To address the problems of scattered factory layout and long energy transmission paths in traditional factories, the factory has innovatively adopted a three-dimensional layout for the combined workshop. Aseptic tanks and fillers are arranged in a double-layer configuration, packaging areas feature double-layer warehousing, and the three-dimensional warehouse is constructed adjacent to the supply warehouse to maximize space utilization. The pretreatment and post-packaging sections are arranged vertically, resulting in shorter energy supply pipelines. The double-layer arrangement of aseptic tanks and filling areas, with energy auxiliary equipment placed on the lower level, minimizes energy transmission distances and reduces pipeline losses. Space utilization has increased by 37%, and floor area efficiency has increased by 2.06 times. (3) Resource Recycling System Construction – Addressing Water and Heat Energy Waste Issues To address the problem of substantial water and heat energy waste, the factory has established a multi-level resource recycling system. The full-membrane water treatment system recovers and reuses all concentrated water from single-stage and double-stage reverse osmosis units, increasing yield by 15% compared to traditional factories. The homogenizer cooling water circulation system recovers and centrally recycles cooling water from 18 homogenizers, degassing tanks, and aseptic tanks, saving approximately RMB 1.6 million annually. The filler cooling water is now cooled through a chilled water circulation system, eliminating water and electricity losses. The air conditioning waste heat recovery system transfers waste heat from the pretreatment workshop to the packaging workshop during the heating season, saving approximately 7,200 tons of steam annually. Biogas generated from wastewater treatment (approximately 1.2775 million cubic meters per year) is used for biogas boiler heating, replacing part of the purchased natural gas. (4) Green and Low-Carbon Governance Mechanism Construction – Addressing Long-Term Operation and Full Participation Issues To address the lack of long-term mechanisms for green and low-carbon management, the factory has issued the "Carbon Management Leadership Group and Implementation Plan," establishing a Carbon Management Leadership Group headed by the factory director, with three major platforms under it: Operations Command, Technical Support, and Integrated Services. This forms a closed-loop management mechanism of "Operations raises demands, Technical provides solutions, Integrated ensures implementation." Institutionalized operating systems have been established, including regular meeting systems, reporting systems, assessment and correction mechanisms, and training mechanisms. Carbon reduction targets are incorporated into the performance evaluations of all platforms and key positions. The factory has also integrated dual-carbon science popularization content into its main exhibition halls and visitor passages to convey its green value proposition to visitors.（AI翻译）

成果亮点

实施前后对比：工厂建成后，相比传统工厂能耗整体降低43%，空间利用率提升37%，坪效提升2.06倍。劳动生产率提高近20倍，实现“百人百亿”的全球乳业最高年度人效比。单吨产品碳排放强度从2024年的96.97 kgCO2/t降至2025年的85.90 kgCO2/t，同比下降11.4%，在产量增长13.5%的背景下碳排放总量基本持平，成功实现产量增长与碳排放的初步脱钩。 创新性亮点：技术创新——AI能效优化算法实现能源动态优化调控，达到乳制品行业国际领先水平；机制创新——建立“领导小组+三大平台”的碳管理组织架构和闭环运行机制，碳减排指标纳入绩效考核；模式创新——首创“数智驱动绿色低碳”模式，将智能制造与绿色制造深度融合；协同创新——打通SRM、WMS、SAP、MES四大系统，供应链库存周转天数从10.3天降至2.21天，带动上下游协同减碳。 持续性与可复制性：工厂已形成涵盖组织机制、技术手段、运营优化和考核激励的完整绿色低碳运行体系。智慧能源管理系统、立体化布局方案、资源循环利用体系等均已形成标准化模块，可在蒙牛集团其他工厂及行业伙伴中快速复制推广。智慧能源系统已作为“灯塔工厂”核心用例向全球制造业展示。

Project Outcome

Comparative Results Before and After Implementation: Following the completion of the factory, overall energy consumption decreased by 43% compared to traditional factories, space utilization increased by 37%, and floor efficiency increased by 2.06 times. Labor productivity increased by nearly 20 times, achieving the highest annual productivity ratio in the global dairy industry—"100 people, 10 billion yuan." Carbon emission intensity per ton of product decreased from 96.97 kgCO₂/t in 2024 to 85.90 kgCO₂/t in 2025, a year-on-year reduction of 11.4%, while total carbon emissions remained essentially flat despite a 13.5% increase in production volume, successfully achieving preliminary decoupling of production growth from carbon emissions. Innovation Highlights: Technological innovation – AI energy efficiency optimization algorithms enable dynamic energy optimization and control, reaching an internationally leading level in the dairy industry; Institutional innovation – a "Leadership Group + Three Platforms" carbon management organizational structure and closed-loop operating mechanism have been established, with carbon reduction targets incorporated into performance evaluations; Model innovation – the pioneering "digital-driven green and low-carbon" model deeply integrates intelligent manufacturing with green manufacturing; Collaborative innovation – the interconnection of four major systems (SRM, WMS, SAP, MES) has reduced supply chain inventory turnover days from 10.3 days to 2.21 days, promoting collaborative carbon reduction across the upstream and downstream value chain. Sustainability and Replicability: The factory has formed a comprehensive green and low-carbon operating system encompassing organizational mechanisms, technical measures, operational optimization, and performance incentives. The smart energy management system, three-dimensional layout solutions, and resource recycling systems have all been developed into standardized modules that can be rapidly replicated and promoted across other Mengniu factories and industry partners. The smart energy system has been showcased to the global manufacturing industry as a core use case of the "Lighthouse Factory."（AI翻译）

成果影响力

生态环境效益：工厂整体能耗降低43%，年节约能源成本显著。2025年绿电使用比例达10.1%，光伏车棚年发电约10.6万kWh，沼气锅炉年利用沼气约127.75万立方米，替代外购蒸汽约11000吨，年减少碳排放约1783吨。2026年目标将绿电比例提升至30%以上，并计划引入外购电厂余热蒸汽。水资源循环利用体系实现浓水全部回收，水处理系统出成率提升15%。 社会影响效果：作为全球乳业首家液态奶“灯塔工厂”和国家级绿色工厂，工厂的“数智绿色”实践被写入世界经济论坛和麦肯锡研究报告。2025年蒙牛集团MSCI ESG评级提升至“AA”级，宁夏工厂作为核心资产为此做出重要贡献。工厂通过展厅参观、行业交流等方式向公众和合作伙伴传递绿色低碳理念，形成广泛的行业示范效应。

Project Highlights

Ecological and Environmental Benefits: The factory's overall energy consumption has been reduced by 43%, resulting in significant annual energy cost savings. In 2025, the green electricity usage ratio reached 10.1%, with photovoltaic carports generating approximately 106,000 kWh annually. The biogas boiler utilizes approximately 1.2775 million cubic meters of biogas per year, replacing approximately 11,000 tons of purchased steam and reducing carbon emissions by approximately 1,783 tons annually. The 2026 target is to increase the green electricity ratio to over 30%, with plans to introduce purchased waste heat steam from external power plants. The water resource recycling system achieves 100% recovery of concentrated water, increasing the water treatment system yield by 15%. Social Impact: As the world's first liquid milk "Lighthouse Factory" and a national-level green factory, the factory's "digital-green" practices have been featured in research reports by the World Economic Forum and McKinsey. In 2025, Mengniu Group's MSCI ESG rating was upgraded to "AA," with the Ningxia factory as a core asset making significant contributions to this achievement. The factory disseminates green and low-carbon concepts to the public and partners through exhibition hall tours and industry exchanges, generating a broad industry demonstration effect.（AI翻译）

评价与荣誉

评价反馈：世界经济论坛评价宁夏工厂“实施了从智能决策到柔性自动化的30多个第四次工业革命高级用例，将交付周期缩短了55%，将经营成本降低了32%，极大改善了经营效率和产品质量。”国际乳品联合会（IDF）主席到访时对工厂的绿色智能制造实践给予高度评价。 媒体与行业认可：2026年获评国家级绿色工厂；2025年获评国家级“卓越级智能工厂”；2023年获评国家级“智能制造示范工厂”揭榜单位；获工信部“5G工厂”认定；获中国乳制品工业协会“乳制品智能制造示范基地”称号。 奖项荣誉：荣获美国绿色建筑委员会LEED绿色建筑金级认证；入选世界经济论坛“全球灯塔网络”，成为全球乳业首家液态奶灯塔工厂；2022年入选“综合智慧能源优秀项目案例集”。这些荣誉充分印证了工厂在绿色低碳与智能制造融合领域的领先地位。

Reviews & Honors

Evaluations and Feedback: The World Economic Forum commented that the Ningxia factory "has implemented over 30 advanced Fourth Industrial Revolution use cases, from intelligent decision-making to flexible automation, reducing delivery lead time by 55% and operating costs by 32%, significantly improving operational efficiency and product quality." The President of the International Dairy Federation (IDF) also highly praised the factory's green intelligent manufacturing practices during his visit. Media and Industry Recognition: In 2026, the factory was recognized as a national-level green factory; in 2025, it was recognized as a national-level "Excellent-level Smart Factory"; in 2023, it was named a national-level "Intelligent Manufacturing Demonstration Factory" pilot unit; it received the "5G Factory" certification from the Ministry of Industry and Information Technology; and it was awarded the title of "Dairy Intelligent Manufacturing Demonstration Base" by the China Dairy Industry Association. Awards and Honors: The factory received LEED Green Building Gold certification from the U.S. Green Building Council; was selected into the World Economic Forum's "Global Lighthouse Network," becoming the world's first liquid milk Lighthouse Factory; and was included in the "Comprehensive Smart Energy Excellent Project Case Collection" in 2022. These honors fully demonstrate the factory's leading position in the integration of green and low-carbon development with intelligent manufacturing.（AI翻译）